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Personal profile

Personal profile

Michael Bewong is a lecturer in computing (Data Science, AI and Cyber Security) at Charles Sturt University. His ambition is to utilize his expertise in the field of data analytics collaboratively to solve real world problems; and to share this knowledge through research publications and teaching.

Prior to joining Charles Sturt, he worked as a course coordinator and a research fellow for University of South Australia (UniSA). As a course coordinator he taught database related subjects. As a research fellow he worked collaboratively with Data to Decisions Cooperative Research Centre (D2D CRC) on various projects. These include the “Beat the News” project where he developed data mining models for predicting socially disruptive events. He also worked on the project “Predicting Cyber Security Exploits”, where he developed novel machine learning techniques to address the challenges in predicting exploits of vulnerabilities within the cyber security space.

Teaching

Michael Bewong’s teaching interests include topics in data science, databases and cyber security. He currently teaches/moderates the following subjects at Charles Sturt University:

  • Network Security and Cryptography (ITC593)
  • Data and Knowledge Engineering (ITC573)
  • Data Mining and Visualisation for Business Intelligence (ITC516)
  • Foundations of Big Data Analytics (ITC575)

Research Interests

Michael Bewong’s research interests are in the areas of privacy preservation, cyber security, data mining, and databases.

His current research focusses on data analytics in social media and its applications to cybersecurity. Particularly he is currently working on (1) improving topic discovery from text data; (2) developing novel techniques for predicting exploits of cyber security vulnerabilities and; (3) opinion summarisation from social media.

His previous research mainly focussed on developing privacy preserving data publication algorithms for both structured and unstructured data.

Please see Michael's publications for his recent works.

He is also an active reviewer for top journals and conferences including TKDE, SDM, KDD, PAKDD, WSDM.

Michael is happy to chat to potential PhD and Honours students about research supervision within his research area.

Professional Information

  • Member, Engineers Australia
  • Member, Association of Computing and Machinery (ACM)
  • Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Sponsorship Chair for AusDM 2019

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Research Output

  • 10 Citations
  • 2 h-Index
  • 3 Conference paper
  • 2 Article
  • 1 Doctoral Thesis

Linking graph entities with multiplicity and provenance

Liu, J., Kwashie, S., Li, J., Liu, L. & Bewong, M., 2019, Proceedings of the 2nd International Workshop on EntitY REtrieval. p. 1-7 7 p.

Research output: Book chapter/Published conference paperConference paper

  • Privacy preserving serial publication of transactional data

    Bewong, M., Liu, J., Liu, L. & Li, J., May 2019, In : Information Systems. 82, p. 53-70 18 p.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

    A relative privacy model for effective privacy preservation in transactional data

    Bewong, M., Liu, J., Liu, L., Li, J. & Choo, K-K. R., 19 Sep 2018, In : Concurrency and Computation: Practice and Experience. 31, 23, p. 1-13 13 p., e4923.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    A relative privacy model for effective privacy preservation in transactional data

    Bewong, M., Liu, J., Liu, L., Li, J. & Choo, K. R., 11 Sep 2017, 2017 IEEE Trustcom/BigDataSE/ICESS. IEEE, p. 394-401 8 p.

    Research output: Book chapter/Published conference paperConference paper

  • 3 Citations (Scopus)

    Privacy preserving publication of transactional data

    Bewong, M., 2017, Australia: University of South Australia. 203 p.

    Research output: ThesisDoctoral Thesis

    Open Access
  • Activities

    • 4 Conference/Symposium
    • 3 Peer review responsibility, including review panel or committee
    • 1 Grant review responsibilities

    The 2nd Applied Statistics and Policy Analysis Conference

    Michael Bewong (Participant)
    2019

    Activity: Participating in or organising an eventConference/SymposiumIndustry

    The 32nd Australasian Joint Conference on Artificial Intelligence 2019

    Michael Bewong (Member of programme committee)
    02 Dec 201905 Dec 2019

    Activity: Participating in or organising an eventConference/SymposiumIndustry

    International Journal of Data Science and Analytics (Journal)

    Michael Bewong (Reviewer)
    2019

    Activity: Publication peer-review and editorial workPeer review responsibility, including review panel or committee

    IEEE Access (Journal)

    Michael Bewong (Reviewer)
    2019

    Activity: Publication peer-review and editorial workPeer review responsibility, including review panel or committee

    KDD 2019 : 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (Event)

    Michael Bewong (Reviewer)
    2019

    Activity: Publication peer-review and editorial workPeer review responsibility, including review panel or committee